First Busey (BUSE) Amortizatization of Intangibles (2014 - 2026)
First Busey (BUSE) reported Amortizatization of Intangibles of $4.23 million for Q2 2026, down 7.8% from $4.59 million a year earlier and down 1.4% from the prior quarter.
First Busey (BUSE) Amortizatization of Intangibles (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, First Busey's Amortizatization of Intangibles came in at $17.46 million, up 37.6% year-over-year; for FY2025, it was $16.61 million, up 65.2% from FY2024.
- Amortizatization of Intangibles has a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- By year, Amortizatization of Intangibles came in at $10.06 million in FY2024 (-3.6%), $10.43 million in FY2023 (-10.3%), $11.63 million in FY2022 (+3.1%) and $11.27 million in FY2021 (+12.6%).
- The Q2 2026 figure ranks as the lowest quarterly Amortizatization of Intangibles since Q1 2025.
- Year over year, Amortizatization of Intangibles gained in five of the last eight quarters, with growth averaging 36.2%.
- The high point for year-over-year Amortizatization of Intangibles in five years was Q4 2025 (growth of 79.4%); the low point was Q1 2024 (a decline of 11.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.29 million (Q1 2026), $4.43 million (Q4 2025) and $4.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | First Busey | 2.47 Bn | 792.49 Mn | - | 4.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.23 Mn |
| Mar 31, 2026 | 4.29 Mn |
| Dec 31, 2025 | 4.43 Mn |
| Sep 30, 2025 | 4.51 Mn |
| Jun 30, 2025 | 4.59 Mn |
| Mar 31, 2025 | 3.08 Mn |
| Dec 31, 2024 | 2.47 Mn |
| Sep 30, 2024 | 2.55 Mn |
| Jun 30, 2024 | 2.63 Mn |
| Mar 31, 2024 | 2.41 Mn |
| Dec 31, 2023 | 2.48 Mn |
| Sep 30, 2023 | 2.56 Mn |
| Jun 30, 2023 | 2.67 Mn |
| Mar 31, 2023 | 2.73 Mn |
| Dec 31, 2022 | 2.80 Mn |
| Sep 30, 2022 | 2.87 Mn |
| Jun 30, 2022 | 2.95 Mn |
| Mar 31, 2022 | 3.01 Mn |
| Dec 31, 2021 | 3.07 Mn |
| Sep 30, 2021 | 3.15 Mn |
First Busey Amortizatization of Intangibles API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=BUSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "BUSE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();